This page contains BYJU’S placement papers from 2025 with current year questions, solutions, and exam patterns.
| Section | Questions | Time | Difficulty |
|---|
| Coding Problems | 2-3 | 90 min | Medium-Hard |
Q1: Adaptive Learning Path - 2025 Real Question
Problem: Design an adaptive learning path system that adjusts content based on student performance.
Solution (Java):
public List<String> generateLearningPath(String studentId, Map<String, Integer> performance) {
List<String> path = new ArrayList<>();
// Analyze performance and generate personalized path
for (String topic : allTopics) {
int score = performance.getOrDefault(topic, 0);
path.add(topic); // Add topics with low performance
Time Complexity: O(n)
- Coding Section is Critical: Must solve 2-3 coding problems correctly to advance
- Personalized Learning Focus: Strong emphasis on ed-tech platform design, adaptive learning systems, AI-powered personalization
- Time Management: 2-3 problems in 90 minutes requires excellent speed and accuracy
- Success Rate: Only 10-15% cleared OA and advanced to interviews
- Platform: BYJU’S assessment platform or HackerRank
- Focus Areas: Arrays, trees, graphs, dynamic programming, personalized learning systems, AI-powered ed-tech
- Enhanced Emphasis: Optimal solutions, AI-powered personalization, and adaptive learning systems
Based on recent candidate experiences from 2025 BYJU’S interviews:
2025 Interview Process:
- Online Assessment (90 minutes): 2-3 coding problems
- Technical Phone Screen (45-60 minutes): Coding problems, algorithm discussions, ed-tech concepts, AI/ML
- Onsite/Virtual Interviews (4-5 rounds, 45-60 minutes each):
- Coding rounds (2-3): Algorithms, data structures, problem-solving
- System Design rounds: AI-powered ed-tech platforms, adaptive learning systems, personalized learning paths, content delivery
- Behavioral rounds: Problem-solving approach, education passion, impact, AI/ML passion
2025 Interview Trends:
- Increased emphasis on AI-powered personalization and adaptive learning systems
- More focus on optimal solutions and modern ed-tech technologies
- Enhanced behavioral questions about innovation and education passion
- Questions about AI/ML applications in ed-tech and personalized learning
Common 2025 Interview Topics:
- Coding: Arrays, strings, trees, graphs, dynamic programming, adaptive learning algorithms
- System Design: AI-powered ed-tech platforms, adaptive learning systems, personalized learning paths, content delivery
- Behavioral: Problem-solving, education passion, teamwork, impact, AI/ML passion
- BYJU’S Technologies: Ed-tech platforms, AI-powered features, adaptive learning systems, personalized learning paths
Success Tips:
- Strong coding performance is essential - solve problems optimally
- Understand ed-tech concepts, AI-powered personalization, and adaptive learning systems
- Practice system design for AI-powered ed-tech platforms and adaptive learning systems
- Prepare examples demonstrating problem-solving and education passion
- Learn BYJU’S products, AI features, and ed-tech technologies
- Practice explaining your thought process clearly
For detailed interview experiences from 2025, visit BYJU’S Interview Experience page.
- Master Coding Fundamentals: Focus on solving 2-3 coding problems correctly - arrays, trees, graphs, DP
- Ed-Tech Expertise: Strong understanding of AI-powered ed-tech systems, adaptive learning systems, personalized learning paths
- Practice Previous Year Papers: Solve BYJU’S OA papers from 2020-2025 to understand evolving patterns
- Time Management: Practice completing 2-3 coding problems in 90 minutes
- LeetCode Practice: Solve 200+ LeetCode problems focusing on arrays, strings, trees, graphs (medium-hard difficulty)
- Ed-Tech Focus: Practice problems related to ed-tech systems and adaptive learning
- System Design Mastery: Learn AI-powered ed-tech platform design, adaptive learning systems, personalized learning paths
- BYJU’S Technologies: Learn ed-tech platforms, AI-powered features, adaptive learning systems, personalized learning paths
- Behavioral Preparation: Prepare examples using STAR format - problem-solving, education passion, AI/ML passion
- Mock Tests: Take timed practice tests to improve speed and accuracy
- AI/ML in Ed-Tech: Understand AI/ML applications in ed-tech and personalized learning
BYJU'S 2024 Papers
Previous year BYJU’S placement papers with questions and solutions
View 2024 Papers →
BYJU'S Coding Questions
Complete collection of BYJU’S coding problems with solutions
View Coding Questions →
BYJU'S Interview Experience
Real interview experiences from successful candidates
Read Experiences →
BYJU'S Preparation Guide
Comprehensive preparation strategy for BYJU’S placement
View Preparation Guide →
BYJU'S Main Page
Complete BYJU’S placement guide with eligibility, process, and salary
View Main Page →
Practice 2025 papers to stay updated with latest patterns and prepare effectively!